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Published by Taylor & Francis Group, 2019
ISBN 10: 0367205270 ISBN 13: 9780367205270
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Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367205270 ISBN 13: 9780367205270
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region-a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas.FeaturesIncludes real-world applications of environmental remotely sensed dataAnalyzes the advantages and restrictions of each data sourceFocuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impactsIncludes R computer codes with explanatory comments and all applications use only freely available remotely sensed dataPresents a step-by-step processing through open source GIS and statistical analysis softwareAdvanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students. 114 pp. Englisch.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region-a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas.FeaturesIncludes real-world applications of environmental remotely sensed dataAnalyzes the advantages and restrictions of each data sourceFocuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impactsIncludes R computer codes with explanatory comments and all applications use only freely available remotely sensed dataPresents a step-by-step processing through open source GIS and statistical analysis softwareAdvanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alexandra Gemitzi graduated from Aristotle University of Thessaloniki (Greece) in 1993 with a Bachelor degree in Geology and a Master of Science in Groundwater Engineering from University of Newcastle upon Tyne (UK) in 1995. She obtained.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alexandra Gemitzi graduated from Aristotle University of Thessaloniki (Greece) in 1993 with a Bachelor degree in Geology and a Master of Science in Groundwater Engineering from University of Newcastle upon Tyne (UK) in 1995. She obtained.